Clarify the decision
Start with the business question, not the chart.
DATA REPORTING ANALYST · POWER BI DEVELOPER · DATA SCIENTIST
Turning operational data into decisions people can act on.
I combine software development, database expertise, business intelligence, reporting automation, and applied data science to transform complex operational data into reliable solutions and decisions people can act on.
PERFORMANCE
Service Analytics
Last 30 days
First-level resolution72.4%+4.8%
Service level86.1%+2.3%
Coverage efficiency93%+8.2%
Volume and resolution trendWeekly
Channel mix
68%Digital
DigitalVoiceOther
80%+reporting time reduced
10 hrssaved each week
80%+Reduction in recurring reporting effort
10 hrs/weekSaved through process automation
M.S.Data Analytics, completed 2025
3+ yearsAnalytics and reporting experience
ABOUT
Analytics strengthened by software development and database expertise.
I am a Data Reporting Analyst with a Bachelor’s degree in Computer Science, a Master of Science in Data Analytics, and strong professional experience in software development, programming, and database systems.
My background combines application development, database design, business intelligence, automation, and advanced analytics. I understand how systems are built, how data moves through them, and how to transform that data into scalable dashboards, reporting solutions, predictive models, and actionable business insights.
I am especially effective when reporting is manual, data is fragmented, metric definitions are unclear, or stakeholders need a stronger way to understand performance. I gather requirements, validate source data, develop reliable solutions, and communicate findings in language technical and business teams can use.
Build trustworthy data
Define logic, validate sources, and make calculations transparent.
Design for action
Create reporting that helps teams prioritize and respond.
CORE EXPERTISE
From raw data to decision-ready products.
I combine software development, database systems, analytics, automation, and stakeholder communication across the full data lifecycle.
BI
Power BI Development
Interactive dashboards, semantic models, DAX measures, KPI frameworks, drill-through experiences, executive reporting, and ongoing Power BI model enhancement.
DA
Data Analysis
Operational, workforce, service, and business analysis supported by SQL query review, performance optimization, PostgreSQL experience, and strong systems knowledge.
DI
Data Integration & Reliability
Connect and maintain reporting data across ServiceNow, Snowflake, SQL Server, PostgreSQL, Excel, APIs, and Power BI. Add new source tables, manage relationships, investigate dataset failures, and resolve refresh or data-quality issues.
DS
Data Science
Classification, feature engineering, model comparison, evaluation, text mining, and translation of findings into business implications.
AU
Automation & Improvement
Workflow redesign, reporting automation, recurring process optimization, requirements analysis, and quality control.
FEATURED WORK
Selected analytics projects.
Confidential workplace projects are presented as sanitized case studies. Public demonstrations should use recreated or sample data.
Recreated with sample data
POWER BI · WORKFORCE ANALYTICS
Hours of Coverage Dashboard
Replaced a heavily manual staffing analysis with an interactive Power BI solution that surfaced coverage gaps, peak demand periods, and recurring scheduling patterns.
80%+report preparation time reduced
1 sourcestandardized performance view
- Modeled schedule and interval data for repeatable reporting
- Created measures for coverage, gaps, and operational variance
- Improved leadership visibility into staffing needs
Portfolio visualization
POWER BI · SERVICE ANALYTICS
Advanced First-Level Resolution Dashboard
Designed performance reporting with transparent KPI logic, exclusion handling, trend views, and operational drill-downs.
View case study →
Portfolio visualization
UIPATH · PROCESS AUTOMATION
Recurring Reporting Automation
Automated repetitive data preparation and reporting steps to improve consistency, speed, and on-time delivery.
View case study →Model comparisonAUC
Logistic Regression
Random Forest
XGBoost
SVM
PYTHON · HEALTHCARE ANALYTICS
30-Day Readmission Prediction
Built and compared classification models to identify factors associated with hospital readmission risk.
View case study →Positive 54%
Neutral 28%
Negative 18%
responsesupportresolutionwait timeservice
R · NLP · TEXT MINING
Service Feedback Analysis
Converted unstructured feedback into sentiment trends and recurring themes that could guide service improvements.
View case study →MASTER'S DEGREE PROJECTS
Graduate analytics project portfolio
These projects demonstrate breadth across statistical learning, machine learning, reinforcement learning, AutoML, and applied artificial intelligence.
SAS ENTERPRISE MINER · CLASSIFICATION
Taiwan Credit Default Risk
Compared classification and ensemble approaches for predicting customer credit-card default, with emphasis on model performance and risk interpretation.
View project →
R · DECISION TREES · HEALTHCARE
Cardiotocography Classification
Applied conditional inference trees and recursive partitioning to classify fetal health patterns from cardiotocography measurements.
View project →
AUTOML · XGBOOST · MODEL EVALUATION
Automated Machine Learning Study
Used an AutoML workflow to test candidate pipelines, compare models, and select a high-performing XGBoost solution with an AUC near 0.79.
View project →
PYTHON · REINFORCEMENT LEARNING
Q-Learning Tic-Tac-Toe Agent
Developed a reinforcement-learning agent that improved its play through repeated interaction, rewards, and Q-value updates.
View project →
IBM WATSON · CONVERSATIONAL AI
Watson Assistant Chatbot
Designed a conversational assistant using intents, entities, dialog logic, and user-centered response flows to support structured self-service interactions.
View project →
MASTER'S CAPSTONE · END-TO-END ANALYTICS
30-Day Hospital Readmission Prediction
The capstone remains the flagship academic case study because it combines data preparation, feature engineering, model comparison, and business interpretation.
View capstone →EXPERIENCE & EDUCATION
Built from operations, strengthened by analytics.
2022—Present
Data Reporting Analyst
Computer Aid, Inc. · Remote
Develop Power BI dashboards, automate reporting, validate operational metrics, analyze service performance, and translate stakeholder requirements into scalable reporting solutions.
2026—Present
Technical Assistant — Artificial Intelligence and Data Division
University of Maryland Global Campus · Part-time
Support students in artificial intelligence, data analytics, cloud computing, and technical lab environments. Investigate reported issues, reproduce technical problems, document resolutions, and collaborate with students, instructors, and technical teams.
2020—2022
Help Desk Analyst II
Computer Aid, Inc. · Remote
Delivered high-volume technical support and developed the operational understanding that now informs service analytics, KPI reporting, and process improvement work.
LET’S WORK TOGETHER
Need an analyst who can improve the insight and the process?
I am pursuing remote Data Reporting Analyst, Power BI Developer, Business Intelligence, Analytics Engineering, Workforce Analytics, and Data Scientist opportunities.